If there's a need for inversion that's good info; would love to know the purpose to get a sense of how people want to use the product.
On Saturday, October 3, 2015, Allen McIntosh <[email protected]> wrote: > Can you explain why you feel you must invert a very large matrix. This > can be a Bad Idea. > > On 10/03/2015 08:09 PM, go canal wrote: > > oh, it is so unfortunate that the first step of my project requires > > the inversion of a very large matrix. will have to revert back to > > scalapack or MR based solutions I guess. thanks, canal > > > > > > On Saturday, October 3, 2015 11:31 PM, Ted Dunning > > <[email protected] <javascript:;>> wrote: > > > > > > I doubt seriously that Samsara will support matrix inversion per se. > > The problem is > > > > a) it densifies sparse matrices > > > > b) it is much more costly than solving a linear system > > > > Samsara is roughly memory based, but different back-ends will try to > > spill to disk if necessary. It is likely that the resulting > > degradation in performance would be dramatic and thus unacceptable to > > most users. > > > > > > > > On Fri, Oct 2, 2015 at 8:47 PM, go canal <[email protected]> > > wrote: > > > >> HiI saw some distributed matrix functions included in Samsara now. > >> Wondering if we have a plan to support matrix inversion ?BTW, am I > >> correct that it is distributed memory based, not out-of-core ? > >> thanks, canal > > > > > > > > > >
